GoodLeap - Staff Data Scientist, Business Solutions
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Requirements
• MS in DS, Statistics, or related technical degree or equivalent work experience • 6-10 years' experience as a Data Scientist or in a similar role • 5+ years' hands-on SQL experience in a work environment • Experience with data modeling and/or casual inference, as appropriate for role • Experience with statistical programming in Python (numpy, pandas) or R • Experience with building reports and visualizations to represent data intuitively in Tableau or similar data visualization tools • Demonstrated ability to work cross-functionally and communicate with technical and non-technical teams • Demonstrated ability to work with stakeholders to translate business questions into rigorous and actionable data projects • Experience owning, prioritizing, and communicating an analysis and/or data modeling roadmap for a business area • $173,000 - $200,000 a year • In addition to the above salary, this role may be eligible for a bonus and equity. • Additional Information Regarding Job Duties and Job Descriptions:
Responsibilities
• Work with stakeholders to scope and prioritize analysis and modeling projects that will drive impact and guide business and product decisions • Develop metrics that are informative, responsive, and relevant to stakeholder teams’ actions • Design and execute rigorous, actionable analyses and data modeling projects, using appropriate statistical methods to validate hypotheses and/or production actionable predictions and prescriptions • Communicate analysis and modeling results effectively to non-technical stakeholders and represent data perspective in strategy and architecture conversations • Work with stakeholder teams to identify key assumptions in business strategy and/or business opportunities addressable through data modeling and develop plans for using data to learn quickly and deliver results • Work with product and business teams to develop and execute measurement plans for new initiatives and/or model deployments, including selecting success metrics, reviewing instrumentation and measurement plans, and developing launch reporting • If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today! • We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.
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